Remote Full-Stack Tech Lead (Java/Python/React)

AgileEngine

Argentina

A distancia

ARS 136.577.000 - 227.628.000

Jornada completa

hace 35 horas
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Descripción de la vacante

AgileEngine in Argentina is seeking a Full Stack Technical Lead to own technically across Java, Python, and React, while guiding engineers through ambiguity. This role blends hands-on coding with tangible client impact and keeps high-traffic systems reliable under pressure.

You will resolve production issues, mentor a team, and drive architecture improvements, with a strong emphasis on ownership, clear communication, and data-driven problem solving.

Formación

  • 7+ years of professional software engineering experience.
  • Expertise Java/Spring Boot for backend; Django/Python as secondary backend.
  • React frontend development experience.
  • Hands-on with build and deployment processes.
  • Experience with Dagster, Data Lakes, or Athena.
  • Ability to lead, mentor, and coordinate multiple projects.
  • Strong ownership, initiative, and independent work style.
  • Clear communication and ability to navigate ambiguity.

Responsabilidades

  • Analyze and resolve production issues, with emphasis on ongoing hiring events.
  • Partner with client-facing teams to triage and address tickets.
  • Drive timely issue resolution to meet SLAs.
  • Monitor production systems and respond to alerts or performance issues.
  • Support architecture changes and system integrations impacting hiring events.
  • Maintain and update event logic in response to dependencies and upstream systems.

Conocimientos

Java/Spring Boot
Django/Python
React
Build & Deploy
Dagster
Data Lakes
Athena
Technical leadership
Ownership/autonomy
Data-driven debugging

Descripción del empleo

AgileEngine in Argentina is seeking a Full Stack Technical Lead to own technically across Java, Python, and React, while guiding engineers through ambiguity. This role blends hands-on coding with tangible client impact and keeps high-traffic systems reliable under pressure.

You will resolve production issues, mentor a team, and drive architecture improvements, with a strong emphasis on ownership, clear communication, and data-driven problem solving.

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